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A Real-Time Water Quality and Quantity Monitoring System for Aquarium

Authors:

Apriandy Angdresey,

Lanny Sitanayah,

Timothy Matthew Immanuel SumajowAuthors Info & Claims

IC3INA '21: Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications

Pages 166 - 170

https://doi.org/10.1145/3489088.3489090

Published: 13 February 2022 Publication History

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Abstract

Caring for ornamental fish includes regular maintenance of water quality and quantity. This is often forgotten by fish owners as they do not have sufficient information regarding aquarium conditions. This paper proposes a wireless monitoring system for aquarium based on the Internet of Things. We utilize a temperature sensor, a turbidity sensor, and an ultrasonic sensor for our sensor device. Based on sensor data, we classify aquarium conditions on the server-side using the C4.5 algorithm. The information can be accessed by users via our web-based application. We show in the performance evaluation that this system can achieve 97.8% accuracy using the 80:20 data partition.

References

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Angdresey ASitanayah LKairupan TSumajow T(2023)Implementation of the C4.5 Algorithm in the Internet of Things ApplicationsDecision Making and Security Risk Management for IoT Environments10.1007/978-3-031-47590-0_4(53-74)Online publication date: 10-Oct-2023
https://doi.org/10.1007/978-3-031-47590-0_4
Fernando SJayaweera NPitawala SKaushalya RRatnayake PSiriwardana S(2022)Smart Caring System for Ornamental Fish2022 4th International Conference on Advancements in Computing (ICAC)10.1109/ICAC57685.2022.10025039(192-197)Online publication date: 9-Dec-2022
https://doi.org/10.1109/ICAC57685.2022.10025039

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A Real-Time Water Quality and Quantity Monitoring System for Aquarium

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IC3INA '21: Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications

October 2021

204 pages

ISBN:9781450385244

DOI:10.1145/3489088

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 13 February 2022

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IC3INA 2021: The 2021 International Conference on Computer, Control, Informatics and Its Applications

October 5 - 6, 2021

Virtual/online conference, Indonesia

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Angdresey ASitanayah LKairupan TSumajow T(2023)Implementation of the C4.5 Algorithm in the Internet of Things ApplicationsDecision Making and Security Risk Management for IoT Environments10.1007/978-3-031-47590-0_4(53-74)Online publication date: 10-Oct-2023
https://doi.org/10.1007/978-3-031-47590-0_4
Fernando SJayaweera NPitawala SKaushalya RRatnayake PSiriwardana S(2022)Smart Caring System for Ornamental Fish2022 4th International Conference on Advancements in Computing (ICAC)10.1109/ICAC57685.2022.10025039(192-197)Online publication date: 9-Dec-2022
https://doi.org/10.1109/ICAC57685.2022.10025039

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Use of environmental sensors and sensor networks to develop water and salinity budgets for seasonal wetland real-time water quality management

A data retransmitting mechanism for ecological monitoring system

LoRa-based Network for Water Quality Monitoring in Coastal Areas

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